Llama 3

Source-This post on Llama 3 has been created based on the article “What is Llama 3, Meta’s most sophisticated and capable large language model yet?” published in “The Indian Express”

Why in the news?

Meta Platforms, the parent company of Facebook, Instagram, and WhatsApp, has introduced its most capable Large Language Model (LLM), the Meta Llama 3.

About Llama 3

Description-It stands for Large Language Model Meta AI.This is a family of LLMs introduced by Meta AI in February 2023.
The first version of the model was released in four sizes — 7B, 13B, 33B, and 65 billion parameters. According to reports, the 13B model of Llama performed better than OpenAI’s GPT-3, despite GPT-3 having 135 billion parameters.

Meaning of parameter-It is a measure of the size and complexity of an AI model. Generally, a larger number of parameters implies that an AI model is more complex and powerful.

Features–
1) It’s said to be the most advanced model, showing big improvements in performance and AI abilities.

2) It is based on the Llama 2 architecture which has been released in two sizes, 8B and 70B parameters. Both sizes include a base model and a fine-tuned version that is specifically designed to improve performance on certain tasks.

3)The instruction-tuned version is made for enhancing AI chatbots that are designed to engage in conversations with users.

4) All Llama 3 models handle context lengths of up to 8,000 tokens. Having more tokens means users can input more content or prompts, and the model can respond with more content. This enables more interactions and better handling of complex inputs compared to Llama 2 or 1.

Languages-At present, Meta AI is available in English across the US on WhatsApp.

What are some of its application?

1) It can be used on Facebook, Instagram, WhatsApp, Messenger, and the web. It’s easily accessible for developers since Meta has integrated the LLM into the Hugging Face ecosystem.

2) It has the ability to engage in conversations and respond to posts directly on the Facebook feed.

Read more- Large language model 

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